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---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Greg-Sentiment-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Greg-Sentiment-classifier
This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0165
- F1: 0.3222
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.004
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0386 | 1.0 | 499 | 1.0199 | 0.2347 |
| 1.0437 | 2.0 | 998 | 1.0226 | 0.2347 |
| 1.066 | 3.0 | 1497 | 1.0207 | 0.2347 |
| 1.0183 | 4.0 | 1996 | 1.0173 | 0.3222 |
| 0.9965 | 5.0 | 2495 | 1.0194 | 0.2347 |
| 0.9548 | 6.0 | 2994 | 1.0165 | 0.3222 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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